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16. A simple slopes analysis: a. Quantifies the rate of decrease, or ‘slope’, of the direct effect when a mediator is present. b. Looks at the relationship between a predictor and outcome variable at low, mean and high levels of a moderator.
c. Is the slope of the regression line between a predictor and outcome variable. d. Compares regression slopes within different participants. Ans: B 17. How do we test for moderation? 18. Imagine we wanted to look at predictors of popularity of famous sports people. We might hypothesize that the type of sport played would predict how popular the sports person was. Imagine we recruited 1000 participants and asked them to rate out of 10 (10 = They are the best sports person in the world, 0 = They are the worst sports person in the world) how much they liked 100 famous sports people from 10 different types of sports (10 sports people from each category). Could we analyse these data using regression, and if so how? 19. Which of the following sentences about grand mean centring in moderation analysis is not true? 20. Why is it common in moderation analysis to transform the predictors using grand mean centring? a. Because it makes the bs for lower-order effects interpretable. b. Because it makes the b for the higher-order interaction effect interpretable. c. To correct for heteroscedasticity in the data. d. It makes the data normally distributed. Ans: A
21. A researcher had a categorical variable that they wanted to include as a predictor in a regression equation. The researcher was trying to predict the success of a back pain intervention, and the categorical variable was the duration of the back pain prior to treatment, with 4 categories: less than 6 months, 6–12 months, 1–2 years, more than 2 years. They needed to code these variables into dummy variables for the regression using less than 6 months as their control category. Which of the following represents the correct coding scheme?